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Perancangan dan Implementasi Sistem Smart Air Conditioner Berbasis IoT di Gedung Kampus Dharma Wacana untuk Optimalisasi Energi Saputri, Tri Aristi; Sutomo, Budi; Hairunnisa, Afifah; Syaputra, M. Adie; Sulistiyanto, Sulistiyanto
JUPITER (Jurnal Penelitian Ilmu dan Teknologi Komputer) Vol 17 No 1 (2025): Jurnal Penelitian Ilmu dan Teknologi Komputer (JUPITER)
Publisher : Teknik Komputer Politeknik Negeri Sriwijaya

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Abstract

The conventional air conditioning (AC) system utilized in the Dharma Wacana Campus building results in high operational costs. Therefore, this study intends to develop and execute an IoT-based Smart Air Conditioner System to enhance energy efficiency and reduce operational expenses. The research methodology comprises three main stages: (1) System Design, where both hardware and software are developed to monitor and control room temperature and humidity; (2) System Implementation, which involves the installation of sensors and actuators, as well as integration with an IoT platform for remote control; and (3) System Evaluation, where the system's performance is assessed through energy consumption data analysis and user satisfaction surveys. The findings indicate that the IoT-based Smart Air Conditioner System can improve energy efficiency by 15% and reduce operational costs by 20%. The analysis reveals that this system offers advantages regarding energy efficiency and cost savings. However, it also presents challenges, including the need for more complex maintenance and higher initial costs. Consequently, it is recommended to implement this system in other educational buildings.   Keywords— Smart Air Conditioner, Energy Efficiency, Internet of Things (IoT), Educational Buildings, AI Based Energy Optimization
OPTIMASI ENERGI DENGAN IOT DAN FUZZY LOGIC PADA AC SMART DI GEDUNG DHARMA WACANA Saputri, Tri Aristi; Sutomo, Budi; Hairunnisa, Afifah
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol. 7 No. 2 (2024): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : LP2M Institut Informatika Dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v7i2.642

Abstract

Efficient energy management in air conditioning (AC) systems is a critical challenge in the modern era, particularly in educational buildings such as Dharma Wacana Hall. This study aims to design and implement an Internet of Things (IoT)-based Smart Air Conditioning system utilizing fuzzy logic to optimize energy management. The system employs DHT22 sensors and ESP32 microcontrollers to monitor indoor and outdoor temperatures in real-time. The collected data were analyzed using the Mamdani fuzzy logic method, resulting in automated AC adjustments. Over a 29-day testing period, the system demonstrated its capability to adapt cooling intensity based on environmental conditions, achieving an average energy savings of 4% on moderate-temperature days. However, on days with higher cooling demands, energy consumption exceeded that of conventional systems. In conclusion, the system successfully improved energy efficiency and thermal comfort in educational buildings, although further development is needed to enhance sensor accuracy and system resilience to internet dependency. This research contributes to the application of IoT technologies for energy efficiency, particularly in the educational sector.